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Toy Model for Testing Purposes

description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such as economics, psychology, sociology, political science).Objective is to test, whether all metadata are displayed correctly

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Data and Resources
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  • ToyModelSimpleFSKX

    Download file here

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  • execute immediatelyURL

    execute model in VRE

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  • execute with new simulation parametersURL

    Change simulation parameters before running the model

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Model scope
Field Value
Hazard Monoammonium glutamate
Hazard Salmonella Daarle
Hazard norovirus Norwalk like virus
Population human consumer men
Population human consumer adult
Population human consumer no age specification
Product Meat preparations of meat offals blood animal fats fresh chilled or frozen salted in brine
Product Tomatoes
Product Lettuce
Model parameters
Field Value
Input Parameter Dimensionless quantity: [aw]( DOUBLE), Default: 0.974
Input Parameter Temperature: °C( DOUBLE), Default: 4.0
Output Parameter Number_Content(count/mass): ln(objects/g)( DOUBLE)
Output Parameter Time: h( DOUBLE)
Additional Info
Field Value
Model Author Mosley, Steve, mosley@nyu.org
Model Creator Parker, Peter, peter.parker@parker.com
Model Creator Romanov, Natalia, black_widow@marvel.com
Model ID Toy_Model_Generic_03
Model Language R 3
ReadMe This model is made available in the FSK-ML format, i.e. as .fskx file. To execute the model or to perform model-based predictions it is recommended to use the software FSK-Lab. FSK-Lab is an open-source extension of the open-source data analytics platform KNIME. To install FSK-Lab follow the installation instructions available at: https://foodrisklabs.bfr.bund.de/fsk-lab_de/. Once FSK-Lab is installed a new KNIME workflow should be created and the FSKX Reader node should be dragged into it. This FSKX Reader node can be configured to read in the given .fskx file. To perform a model-based prediction connect the out-port of the FSKX Reader node with the FSK Simulation Configurator JS node to adjust if necessary input parameters and store this into a user defined simulation setting, After that connect the output port with the input of a FSK Runner node that perform the simulation and look at the results at the node's outport.
Reference Description Dose Response Models For Infectious Gastronomies DOI: 10.1111/j.153xxx924.1999.tb01143.x
Reference Description Norwalk virus: How infectious is it? DOI: 10.1002/zenodo.211137
Reference Description Quantitative Risk Assessment in Food Establishments: Evaluating Strategies and Behavior on the Risk Associated with Fats in Foods DOI: 10.5072/zenodo.168114
system:type FSKXModel
Management Info
Field Value
Author leonardo_candela
Last Updated 20 July 2022, 22:53 (CEST)
Created 19 January 2021, 19:39 (CET)